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Mistral Large 3

MistralMistral開源權重Apache 2.0 · 商用許可

描述

Mistral Large 3 is a state-of-the-art general-purpose Multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters trained from scratch with 3000 H200s. This model is the instruct post-trained version, fine-tuned for instruction tasks, making it ideal for chat, agentic and instruction based use cases. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows.

發布日期
2025-12-02
參數規模
675.0B
上下文長度
262K
支援模態
image, text

能力雷達圖

30
general
31
coding
43
reasoning
44
science
39
agents
85
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜400
33.0
AA
通用能力榜396
34.0
AA
科學能力370
40.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench84.90 / 100自報

Factuality

SimpleQA23.8%自報

General

TriviaQA74.9%自報
Wild Bench68.5%自報
Arena Hard55.1%自報

Language

MMMLU85.5%自報
MMLU-Redux82.0%自報

Math

MATH90.4%自報
MATH (CoT)67.6%自報
AMC_2022_2352.0%自報

Reasoning

GPQANYU + Cohere + Anthropic (2023)43.9%自報
LiveCodeBench34.4%自報

AA 評測指數

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
80.7
Gpqa(NYU + Cohere + Anthropic (2023))
68.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))
46.5
Math Index(Artificial Analysis)
38.0
Aime 25(MAA (Mathematical Association of America))
38.0
Scicode(UIUC + Argonne National Lab (2024))
36.6
Ifbench(Google Research (2023))
36.2
Lcr(Artificial Analysis)
36.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
24.6
Coding Index(Artificial Analysis)
20.1
Terminalbench Hard(Stanford × Laude Institute (2026))
15.9
Terminalbench V2 1
12.0
Intelligence Index(Artificial Analysis)
9.3
Tau Banking
5.8
Hle(Center for AI Safety + Scale AI (2025))
4.2

LLM Stats 分類評分

(LLM Stats (zeroeval))
Multimodal
85
Communication
43
Chat
43
General
11
Language
80
Math
80
Reasoning
70
Creativity
60
Writing
60

定價

輸入價格$0.5 / 1M tokens
輸出價格$1.5 / 1M tokens
混合價格(3:1)$0.75 / 1M tokens
快取讀取價格$0.05 / 1M tokens

速度

Tokens/秒77.6
首Token延遲0.77s
首回答延遲0.77s

供應商價格排行

供應商價格排行

8 個供應商

最便宜: Mistral最貴: 302.AI
供應商輸入輸出
1Mistral主要
$0.5
$1.5
2OpenRouter
$0.5
$1.5
3Kilo Gateway
$0.5
$1.5
4DevPass (LLM Gateway)
$0.5
$1.5
5Pioneer
$0.5
$1.5
6Opper
$0.5
$1.5
7Cortecs
$0.613
$1.838
8302.AI
$1.1
$3.3

比較該模型在不同 API 供應商之間的定價。

外部連結